YM

Yutaka Matsuo

Technical Advisor, Director at ABEJA

In 1997, Matsuo graduated from the Department of Electrical and Electronic Engineering, The University of Tokyo, then completed his postgraduate doctorate at the same university in 2002. Doctor of Engineering (PhD). He then joined the National Institute of Advanced Industrial Science and Technology (AIST) as a researcher. In August 2005, he became a visiting scholar at Stanford University. In 2007, he was appointed as an associate professor of the Institute of Engineering Innovation of the School of Engineering/ i.school (an innovation education program)/ the Department of Technology Management for Innovation at The University of Tokyo. Since 2014, he has been a Project Associate Professor and co-chairman of Endowed Chair in Global Consumer Intelligence, Department of Technology Management for Innovation, Graduate School of Engineering, The University of Tokyo. His specialty lies in AI, web mining and Big Data analysis. From Japanese Society for Artificial Intelligence (JSAI), he received The Best Paper Award (2002), the 20th Anniversary Project Award (2006), a Field Innovation Award (2011) and a Meritorious Service Award (2013). He joined JSAI student editorial board, then served as editorial committee, vice-chairman from 2010, then editor-in-chief and director from 2012. From 2014 to 2018, he was Chairman of the Ethics Committee. In 2017, he was appointed as President of Japan Deep Learning Association (JDLA).


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